Áron Horváth

Áron Horváth's work experience can be summarized as follows:

- Áron is currently working as a Data Engineer at Unit8 since August 2022.

- From 2021 to 2022, they worked as a Data Scientist / Postdoctoral Researcher at KrauthammerLab.

- Áron also had a brief role as a Data Scientist / Postdoctoral Research Associate at KrauthammerLab from October to December 2020.

- Áron Horváth worked as a Software and Device Engineer / Associate Researcher at Universitätsklinik Balgrist from 2019 to 2020.

- Áron was a PHD Student at ETH Zürich from 2013 to 2019, where they conducted research on cell mechanics.

- Áron Horváth had a research fellowship at Kyoto University in 2016, where they worked on the mechanical characterization of actin filaments.

- In 2012, they completed an Erasmus Internship at ETH Zurich.

- Áron also participated in the Biological Undergraduate Summer School at the University of Zurich in 2010.

- Áron Horváth had a brief visiting scholar role at EMBL in 2010.

Áron Horváth's education history is as follows:

Áron obtained their PhD in Biomedical Engineering / Biomechanics from ETH Zürich, where they studied from 2013 to 2019. Prior to that, they completed their Master's degree in Infobionics at Pázmány Péter Katolikus Egyetem from 2012 to 2013. Áron also holds a Bachelor's degree in Molecular Bionics from the same university, which they obtained from 2008 to 2012.

In addition to their formal education, Áron Horváth has obtained several certifications. These include the "AWS Cloud Technical Essential" from Coursera in March 2022, "AWS Fundamentals: Building Serverless Applications" from Coursera in March 2022, "Digital Health, the Regulatory Landscape" from Medidee in February 2022, "Deep Learning Specialization" from Coursera in July 2021, "Sequence Models" from Coursera in July 2021, "Convolutional Neural Networks" from Coursera in June 2021, "Good Clinical Practice (GCP)" from Universitätsspital Zürich in June 2021, "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" from Coursera in May 2021, "Structuring Machine Learning Projects" from Coursera in May 2021, and "Neural Networks and Deep Learning" from Coursera in April 2021.